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Tracing Emotion: An Overview

机译:追踪情绪:概述

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摘要

Computational research with continuous representations depends on obtaining continuous representations from human labellers. The main method used for that purpose is tracing. Tracing raises a range of challenging issues, both psychological and statistical. Naive assumptions about these issues are easy to make, and can lead to inappropriate requirements and uses. The natural function of traces is to capture perceived affect, and as such they belong in long traditions of research on both perception and emotion. Experiments on several types of material provide information about their characteristics, particularly the ratings on which people tend to agree. Disagreement is not necessarily a problem in the technique. It may correctly show that people's impressions of emotion diverge more than commonly thought. A new system, Gtrace, is designed to let rating studies capitalise on a decade of experience and address the research questions that are opened up by the data now available.
机译:具有连续表示的计算研究取决于从人类标签商那里获得连续表示。用于此目的的主要方法是跟踪。追踪提出了一系列具有挑战性的问题,包括心理和统计方面的问题。关于这些问题的天真的假设很容易做出,并且可能导致不适当的要求和使用。痕迹的自然功能是捕获感知到的情感,因此它们属于感知和情感研究的悠久传统。在几种类型的材料上进行的实验提供了有关其特性的信息,尤其是人们倾向于认同的等级。分歧不一定是该技术中的问题。它可能正确地表明,人们对情感的印象比通常认为的更多。一种新的系统Gtrace旨在让评级研究利用十年的经验,并解决现有数据所带来的研究问题。

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